News: I just started my blog about brain http://mrbraintruekingpin.weebly.com/
My research interests: consciousness, the self, social cognition, artificial intelligence, Bayesian inference, neural networks, brain dynamics, computational neuroscience, quantum cognition, genetics, and epigenetics
My past experience: I played a detective role in the case of the reflective aspect of self-consciousness and its role in social cognition. The investigation entailed an analysis on social cognition, especially theory-theory, in terms of reflective and explicit self-representation and also its relationship with emotions and embodied cognition. It took place while I was a part of the special MSc. in Philosophy of Science team at LSE in London.
Later, I joined the experts in neuroscience at King's College in London, where I signed for Dr. Geoff Bird Social Neuroscience Laboratory. We searched for the social abilities of the right temporoparietal junction (rTPJ). We used transcranial direct current stimulation to establish whether the rTPJ improves the self-other control ability. We designed and tested computerized imitation-inhibition task that measured error data and response times of instructed finger lifts when participants were presented with compatible and incompatible (spatially and imitative) task-irrelevant stimuli. Participants with stimulated rTPJ compared to the control mid-occipital site scored better in imitation inhibition.
In Prague, I joined the team of Dr. Matoska in his Laboratory of molecular diagnostics, where I focused mainly on new methods for quantification of circulating cell-free DNA that could be used as a cancer biomarker. I also introduced new PCR methods used with high-resolution melting analysis that are now used for variances detection in BRCA1 5382insC, RHD deletion, and SNTA1 R510Q.
While completing a Data Science Immersive at General Assembly in San Francisco, I did a capstone that focused on movie recommendations and genre predictions. I build a One-vs-Rest model with the use of Linear SVC to predict movie genre just from its title that what preprocessed with TF-IDF, and I also coded two recommendation systems based on liked movie or liked movies that scored above one's mean score. Other projects in data science, including:
- Exploratory Data Analysis and visualization of SAT scores data and liquor sales data
- Machine learning and regression modeling to predict Boston housing prices
- Classification modeling to classify Yelp reviews by subject
Again back in my home city Prague, I worked as a machine learning engineer at Spaceknow (check it out at our spaceknow.com). I worked on deep learning models on satellite imagery to detect various features, data analysis, trading indexes predictions based on satellite imagery.
Now, I a PhD student in Gustavo Deco's Computational Neuroscience Group at Universitat Pompeu Fabra in Barcelona, Spain (still). I am investigating different dynamic states of the whole brain while preforming different tasks.
Later, I joined the experts in neuroscience at King's College in London, where I signed for Dr. Geoff Bird Social Neuroscience Laboratory. We searched for the social abilities of the right temporoparietal junction (rTPJ). We used transcranial direct current stimulation to establish whether the rTPJ improves the self-other control ability. We designed and tested computerized imitation-inhibition task that measured error data and response times of instructed finger lifts when participants were presented with compatible and incompatible (spatially and imitative) task-irrelevant stimuli. Participants with stimulated rTPJ compared to the control mid-occipital site scored better in imitation inhibition.
In Prague, I joined the team of Dr. Matoska in his Laboratory of molecular diagnostics, where I focused mainly on new methods for quantification of circulating cell-free DNA that could be used as a cancer biomarker. I also introduced new PCR methods used with high-resolution melting analysis that are now used for variances detection in BRCA1 5382insC, RHD deletion, and SNTA1 R510Q.
While completing a Data Science Immersive at General Assembly in San Francisco, I did a capstone that focused on movie recommendations and genre predictions. I build a One-vs-Rest model with the use of Linear SVC to predict movie genre just from its title that what preprocessed with TF-IDF, and I also coded two recommendation systems based on liked movie or liked movies that scored above one's mean score. Other projects in data science, including:
- Exploratory Data Analysis and visualization of SAT scores data and liquor sales data
- Machine learning and regression modeling to predict Boston housing prices
- Classification modeling to classify Yelp reviews by subject
Again back in my home city Prague, I worked as a machine learning engineer at Spaceknow (check it out at our spaceknow.com). I worked on deep learning models on satellite imagery to detect various features, data analysis, trading indexes predictions based on satellite imagery.
Now, I a PhD student in Gustavo Deco's Computational Neuroscience Group at Universitat Pompeu Fabra in Barcelona, Spain (still). I am investigating different dynamic states of the whole brain while preforming different tasks.
Apart from the beauty of the mind-brain-cognition complex, there are many more beauties to be explored. I like to look closer at architectonic achievements across all periods, read the great philosophers, watch extraordinary movies and series, breathe air in forests and parks, see waves rolling in the sea, and feel fresh snow under my skis.
And if Katerina C reminds you of Josef K. from Kafka's 'The Trial', you are on the right track, Dr. Holmes.
And if Katerina C reminds you of Josef K. from Kafka's 'The Trial', you are on the right track, Dr. Holmes.